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<title>CUTLASS: cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</title>
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<li class="navelem"><a class="el" href="namespacecutlass.html">cutlass</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm.html">gemm</a></li><li class="navelem"><a class="el" href="namespacecutlass_1_1gemm_1_1warp.html">warp</a></li><li class="navelem"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html">MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</a></li>  </ul>
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<div class="title">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt; Class Template Reference</div>  </div>
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<p><code>#include &lt;<a class="el" href="mma__tensor__op__tile__iterator_8h_source.html">mma_tensor_op_tile_iterator.h</a>&gt;</code></p>
<table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-types"></a>
Public Types</h2></td></tr>
<tr class="memitem:a332174db47ba7103e8165861b1383b4a"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a332174db47ba7103e8165861b1383b4a">Shape</a> = Shape_</td></tr>
<tr class="memdesc:a332174db47ba7103e8165861b1383b4a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of tile to load (concept: PitchLinearShape)  <a href="#a332174db47ba7103e8165861b1383b4a">More...</a><br /></td></tr>
<tr class="separator:a332174db47ba7103e8165861b1383b4a"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a461ec8799dc124e39b56e78d1d7b2501"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a461ec8799dc124e39b56e78d1d7b2501">Element</a> = Element_</td></tr>
<tr class="memdesc:a461ec8799dc124e39b56e78d1d7b2501"><td class="mdescLeft">&#160;</td><td class="mdescRight">Element type.  <a href="#a461ec8799dc124e39b56e78d1d7b2501">More...</a><br /></td></tr>
<tr class="separator:a461ec8799dc124e39b56e78d1d7b2501"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab2818c6132241f008d412a47e5b65e76"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab2818c6132241f008d412a47e5b65e76">Layout</a> = <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;</td></tr>
<tr class="memdesc:ab2818c6132241f008d412a47e5b65e76"><td class="mdescLeft">&#160;</td><td class="mdescRight">Layout of source tile.  <a href="#ab2818c6132241f008d412a47e5b65e76">More...</a><br /></td></tr>
<tr class="separator:ab2818c6132241f008d412a47e5b65e76"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ad91c3ff6512ec6f63dac11af36f553cb"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ad91c3ff6512ec6f63dac11af36f553cb">InstructionShape</a> = InstructionShape_</td></tr>
<tr class="memdesc:ad91c3ff6512ec6f63dac11af36f553cb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Shape of one matrix product operation (concept: <a class="el" href="structcutlass_1_1MatrixShape.html" title="Describes the size of a matrix tile. ">MatrixShape</a>)  <a href="#ad91c3ff6512ec6f63dac11af36f553cb">More...</a><br /></td></tr>
<tr class="separator:ad91c3ff6512ec6f63dac11af36f553cb"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:aa9b319d97a8bfe2f51c78c8e3a2ad77d"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aa9b319d97a8bfe2f51c78c8e3a2ad77d">TensorRef</a> = <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aa9b319d97a8bfe2f51c78c8e3a2ad77d">TensorRef</a>&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a461ec8799dc124e39b56e78d1d7b2501">Element</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab2818c6132241f008d412a47e5b65e76">Layout</a> &gt;</td></tr>
<tr class="memdesc:aa9b319d97a8bfe2f51c78c8e3a2ad77d"><td class="mdescLeft">&#160;</td><td class="mdescRight"><a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> type for loading element from a tensor.  <a href="#aa9b319d97a8bfe2f51c78c8e3a2ad77d">More...</a><br /></td></tr>
<tr class="separator:aa9b319d97a8bfe2f51c78c8e3a2ad77d"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a85a6af3ca6d0768de87abfb05be3172f"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td></tr>
<tr class="memdesc:a85a6af3ca6d0768de87abfb05be3172f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Index type.  <a href="#a85a6af3ca6d0768de87abfb05be3172f">More...</a><br /></td></tr>
<tr class="separator:a85a6af3ca6d0768de87abfb05be3172f"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a86cfe634c08dbf97d12b62eeaff1fa2c"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a86cfe634c08dbf97d12b62eeaff1fa2c">LongIndex</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td></tr>
<tr class="memdesc:a86cfe634c08dbf97d12b62eeaff1fa2c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Long Index type.  <a href="#a86cfe634c08dbf97d12b62eeaff1fa2c">More...</a><br /></td></tr>
<tr class="separator:a86cfe634c08dbf97d12b62eeaff1fa2c"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ab0919a07c2d37fae0679481ef4ed8138"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> = typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td></tr>
<tr class="memdesc:ab0919a07c2d37fae0679481ef4ed8138"><td class="mdescLeft">&#160;</td><td class="mdescRight">Coordinate for an element in the tensor.  <a href="#ab0919a07c2d37fae0679481ef4ed8138">More...</a><br /></td></tr>
<tr class="separator:ab0919a07c2d37fae0679481ef4ed8138"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:ae9d2a2b4d378e778e1ca6b60d96aa250"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ae9d2a2b4d378e778e1ca6b60d96aa250">Base</a> = <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt; Shape::kColumn, Shape::kRow &gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aae1f7b3b5fe4c031fbd323536af102ac">kOperand</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a461ec8799dc124e39b56e78d1d7b2501">Element</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">layout::TensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt; InstructionShape::kColumn, InstructionShape::kRow &gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a9debc539c23e32863ce5ba1ca39226bb">kOpDelta</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a4e504f50ad5b8106d8f26abdf2c77eed">kThreads</a>, PartitionsK_ &gt;</td></tr>
<tr class="memdesc:ae9d2a2b4d378e778e1ca6b60d96aa250"><td class="mdescLeft">&#160;</td><td class="mdescRight">Underlying tile iterator implementation.  <a href="#ae9d2a2b4d378e778e1ca6b60d96aa250">More...</a><br /></td></tr>
<tr class="separator:ae9d2a2b4d378e778e1ca6b60d96aa250"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:abb80a20c60f1c8702a217cc56fa0b348"><td class="memItemLeft" align="right" valign="top">using&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> = Array&lt; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a461ec8799dc124e39b56e78d1d7b2501">Element</a>, Shape::kCount/<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a4e504f50ad5b8106d8f26abdf2c77eed">kThreads</a> &gt;</td></tr>
<tr class="memdesc:abb80a20c60f1c8702a217cc56fa0b348"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fragment object holding a thread's part of a tile.  <a href="#abb80a20c60f1c8702a217cc56fa0b348">More...</a><br /></td></tr>
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</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
Public Member Functions</h2></td></tr>
<tr class="memitem:a459d61e80b72846e8a096b5c93e3b7a8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a459d61e80b72846e8a096b5c93e3b7a8">MmaTensorOpMultiplicandTileIterator</a> ()</td></tr>
<tr class="memdesc:a459d61e80b72846e8a096b5c93e3b7a8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default ctor constructs null iterator.  <a href="#a459d61e80b72846e8a096b5c93e3b7a8">More...</a><br /></td></tr>
<tr class="separator:a459d61e80b72846e8a096b5c93e3b7a8"><td class="memSeparator" colspan="2">&#160;</td></tr>
<tr class="memitem:a2f1d8841e730498582a557e73c1467fe"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a2f1d8841e730498582a557e73c1467fe">MmaTensorOpMultiplicandTileIterator</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aa9b319d97a8bfe2f51c78c8e3a2ad77d">TensorRef</a> const &amp;ref, int lane_id)</td></tr>
<tr class="memdesc:a2f1d8841e730498582a557e73c1467fe"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor from <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a>.  <a href="#a2f1d8841e730498582a557e73c1467fe">More...</a><br /></td></tr>
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<tr class="memitem:ab49df5f2b62c1dbc7533d1ad36881d5c"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab49df5f2b62c1dbc7533d1ad36881d5c">add_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a86cfe634c08dbf97d12b62eeaff1fa2c">LongIndex</a> offset)</td></tr>
<tr class="memdesc:ab49df5f2b62c1dbc7533d1ad36881d5c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Adds a pointer offset to internal pointer(s) to advance through memory.  <a href="#ab49df5f2b62c1dbc7533d1ad36881d5c">More...</a><br /></td></tr>
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<tr class="memitem:af05eb3e5ea74cdeadfeda004b42ce8a1"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#af05eb3e5ea74cdeadfeda004b42ce8a1">add_tile_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;tile_offset)</td></tr>
<tr class="memdesc:af05eb3e5ea74cdeadfeda004b42ce8a1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances an iterator along logical dimensions of matrix in units of whole tiles.  <a href="#af05eb3e5ea74cdeadfeda004b42ce8a1">More...</a><br /></td></tr>
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<tr class="memitem:acce80cd5cb5ab6c23795a8748c427610"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#acce80cd5cb5ab6c23795a8748c427610">operator++</a> ()</td></tr>
<tr class="memdesc:acce80cd5cb5ab6c23795a8748c427610"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the advance dimension.  <a href="#acce80cd5cb5ab6c23795a8748c427610">More...</a><br /></td></tr>
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<tr class="memitem:a9ce64fa398716ceb18123a34cb8c7eef"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a9ce64fa398716ceb18123a34cb8c7eef">operator--</a> ()</td></tr>
<tr class="memdesc:a9ce64fa398716ceb18123a34cb8c7eef"><td class="mdescLeft">&#160;</td><td class="mdescRight">Advances the iterator along the advance dimension.  <a href="#a9ce64fa398716ceb18123a34cb8c7eef">More...</a><br /></td></tr>
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<tr class="memitem:ad657ba5ffa2eb7c80c4328a47783e67a"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ad657ba5ffa2eb7c80c4328a47783e67a">operator+=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;tile_offset)</td></tr>
<tr class="memdesc:ad657ba5ffa2eb7c80c4328a47783e67a"><td class="mdescLeft">&#160;</td><td class="mdescRight">advances in units of whole tiles along the logical coordinate space of the tensor  <a href="#ad657ba5ffa2eb7c80c4328a47783e67a">More...</a><br /></td></tr>
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<tr class="memitem:ad0e1edd1608df393c451b9ac6bd079de"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ad0e1edd1608df393c451b9ac6bd079de">operator-=</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;tile_offset)</td></tr>
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<tr class="memitem:ae6d98630ac77ae55f55281d7a9055b66"><td class="memItemLeft" align="right" valign="top"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ae6d98630ac77ae55f55281d7a9055b66">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;frag) const </td></tr>
<tr class="memdesc:ae6d98630ac77ae55f55281d7a9055b66"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory at the location pointed to by the iterator.  <a href="#ae6d98630ac77ae55f55281d7a9055b66">More...</a><br /></td></tr>
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<tr class="memitem:a6c481c9a25374ae10fc47e17d5736b89"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a6c481c9a25374ae10fc47e17d5736b89">load_with_pointer_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:a6c481c9a25374ae10fc47e17d5736b89"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#a6c481c9a25374ae10fc47e17d5736b89">More...</a><br /></td></tr>
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<tr class="memitem:a790515ce517729945be3a05828ca5882"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a790515ce517729945be3a05828ca5882">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:a790515ce517729945be3a05828ca5882"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with additional logical offset.  <a href="#a790515ce517729945be3a05828ca5882">More...</a><br /></td></tr>
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<tr class="memitem:a4837610efc606b2c8103f8271faad178"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a4837610efc606b2c8103f8271faad178">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;tile_offset) const </td></tr>
<tr class="memdesc:a4837610efc606b2c8103f8271faad178"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#a4837610efc606b2c8103f8271faad178">More...</a><br /></td></tr>
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<tr class="memitem:ad44b3c1bfee9f5a8ddc962e78d81aefb"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ad44b3c1bfee9f5a8ddc962e78d81aefb">load</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a> pointer_offset) const </td></tr>
<tr class="memdesc:ad44b3c1bfee9f5a8ddc962e78d81aefb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#ad44b3c1bfee9f5a8ddc962e78d81aefb">More...</a><br /></td></tr>
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<tr class="memitem:aaf694dd4b0520ff3430a012777f350bc"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aaf694dd4b0520ff3430a012777f350bc">load_with_byte_offset</a> (<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;frag, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;tile_offset, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a> byte_offset) const </td></tr>
<tr class="memdesc:aaf694dd4b0520ff3430a012777f350bc"><td class="mdescLeft">&#160;</td><td class="mdescRight">Loads a fragment from memory with logical offset in units of whole tiles.  <a href="#aaf694dd4b0520ff3430a012777f350bc">More...</a><br /></td></tr>
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<tr class="memitem:aacb661cde511fb812d82d0490c936195"><td class="memItemLeft" align="right" valign="top">CUTLASS_DEVICE void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aacb661cde511fb812d82d0490c936195">set_kgroup_index</a> (int k_group)</td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-static-attribs"></a>
Static Public Attributes</h2></td></tr>
<tr class="memitem:aae1f7b3b5fe4c031fbd323536af102ac"><td class="memItemLeft" align="right" valign="top">static <a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aae1f7b3b5fe4c031fbd323536af102ac">kOperand</a> = Operand_</td></tr>
<tr class="memdesc:aae1f7b3b5fe4c031fbd323536af102ac"><td class="mdescLeft">&#160;</td><td class="mdescRight">Operand tag.  <a href="#aae1f7b3b5fe4c031fbd323536af102ac">More...</a><br /></td></tr>
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<tr class="memitem:a9debc539c23e32863ce5ba1ca39226bb"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a9debc539c23e32863ce5ba1ca39226bb">kOpDelta</a> = OpDelta_</td></tr>
<tr class="memdesc:a9debc539c23e32863ce5ba1ca39226bb"><td class="mdescLeft">&#160;</td><td class="mdescRight">Delta between *MMA operations (in units of *MMA operations, concept: <a class="el" href="structcutlass_1_1MatrixShape.html" title="Describes the size of a matrix tile. ">MatrixShape</a>)  <a href="#a9debc539c23e32863ce5ba1ca39226bb">More...</a><br /></td></tr>
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<tr class="memitem:a4e504f50ad5b8106d8f26abdf2c77eed"><td class="memItemLeft" align="right" valign="top">static int const&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a4e504f50ad5b8106d8f26abdf2c77eed">kThreads</a> = 32</td></tr>
<tr class="memdesc:a4e504f50ad5b8106d8f26abdf2c77eed"><td class="mdescLeft">&#160;</td><td class="mdescRight">Number of participating threads.  <a href="#a4e504f50ad5b8106d8f26abdf2c77eed">More...</a><br /></td></tr>
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<a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
<div class="textblock"><h3>template&lt;typename Shape_, Operand Operand_, typename Element_, typename InstructionShape_, int OpDelta_, int PartitionsK_&gt;<br />
class cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator&lt; Shape_, Operand_, Element_, cutlass::layout::RowMajorTensorOpMultiplicandCongruous&lt; sizeof_bits&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;</h3>

<p>This tile iterator is specialized for 32-thread TensorOps. It uses LDSM to load from shared memory and therefore must be initialized with a <a class="el" href="classcutlass_1_1TensorRef.html">TensorRef</a> to shared memory.</p>
<p>Satisfies: ReadableRandomAccessContiguousTileIteratorConcept </p>
</div><h2 class="groupheader">Member Typedef Documentation</h2>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ae9d2a2b4d378e778e1ca6b60d96aa250">Base</a> =  <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&lt; <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt;Shape::kColumn, Shape::kRow&gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aae1f7b3b5fe4c031fbd323536af102ac">kOperand</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a461ec8799dc124e39b56e78d1d7b2501">Element</a>, <a class="el" href="structcutlass_1_1layout_1_1TensorOpMultiplicandCongruous.html">layout::TensorOpMultiplicandCongruous</a>&lt;<a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt;Element_&gt;::value, int(128 / sizeof(Element_))&gt;, <a class="el" href="structcutlass_1_1layout_1_1PitchLinearShape.html">layout::PitchLinearShape</a>&lt;InstructionShape::kColumn, InstructionShape::kRow&gt;, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a9debc539c23e32863ce5ba1ca39226bb">kOpDelta</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a4e504f50ad5b8106d8f26abdf2c77eed">kThreads</a>, PartitionsK_&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a461ec8799dc124e39b56e78d1d7b2501">Element</a> =  Element_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> =  Array&lt;<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a461ec8799dc124e39b56e78d1d7b2501">Element</a>, Shape::kCount / <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a4e504f50ad5b8106d8f26abdf2c77eed">kThreads</a>&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#a11ec4b07a2132e647ca2ebe5112ce5ec">TensorRef::Index</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ad91c3ff6512ec6f63dac11af36f553cb">InstructionShape</a> =  InstructionShape_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab2818c6132241f008d412a47e5b65e76">Layout</a> =  <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt;Element_&gt;::value, int(128 / sizeof(Element_))&gt;</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a86cfe634c08dbf97d12b62eeaff1fa2c">LongIndex</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#adeada5e33b231f125a4aaeaf963bd3a3">TensorRef::LongIndex</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a332174db47ba7103e8165861b1383b4a">Shape</a> =  Shape_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> =  typename <a class="el" href="classcutlass_1_1TensorRef.html#ace218cdb46555a46bd71dbdfc2c317c1">TensorRef::TensorCoord</a></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">using <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aa9b319d97a8bfe2f51c78c8e3a2ad77d">TensorRef</a> =  <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aa9b319d97a8bfe2f51c78c8e3a2ad77d">TensorRef</a>&lt;<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a461ec8799dc124e39b56e78d1d7b2501">Element</a>, <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab2818c6132241f008d412a47e5b65e76">Layout</a>&gt;</td>
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<h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> </td>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::<a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a> </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#aa9b319d97a8bfe2f51c78c8e3a2ad77d">TensorRef</a> const &amp;&#160;</td>
          <td class="paramname"><em>ref</em>, </td>
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          <td class="paramtype">int&#160;</td>
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<h2 class="groupheader">Member Function Documentation</h2>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::add_pointer_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a86cfe634c08dbf97d12b62eeaff1fa2c">LongIndex</a>&#160;</td>
          <td class="paramname"><em>offset</em></td><td>)</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::add_tile_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em></td><td>)</td>
          <td> const</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>&#160;</td>
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          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
  </table>
  </dd>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
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          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
  </table>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
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          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
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          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">byte_offset</td><td>loads a tile with a linear offset </td></tr>
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  </dd>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_byte_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a>&#160;</td>
          <td class="paramname"><em>byte_offset</em>&#160;</td>
        </tr>
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          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">tile_offset</td><td>loads a tile with a logical offset in units of whole tiles </td></tr>
    <tr><td class="paramname">byte_offset</td><td>loads a tile with a logical offset AND a pointer offset </td></tr>
  </table>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::load_with_pointer_offset </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#abb80a20c60f1c8702a217cc56fa0b348">Fragment</a> &amp;&#160;</td>
          <td class="paramname"><em>frag</em>, </td>
        </tr>
        <tr>
          <td class="paramkey"></td>
          <td></td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#a85a6af3ca6d0768de87abfb05be3172f">Index</a>&#160;</td>
          <td class="paramname"><em>pointer_offset</em>&#160;</td>
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          <td></td>
          <td>)</td>
          <td></td><td> const</td>
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<dl class="params"><dt>Parameters</dt><dd>
  <table class="params">
    <tr><td class="paramname">frag</td><td>fragment to load from the tensor </td></tr>
    <tr><td class="paramname">pointer_offset</td><td>loads a tile with a linear offset </td></tr>
  </table>
  </dd>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator++ </td>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator+= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
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          <td class="memname"><a class="el" href="cutlass_8h.html#a28c2443a142676d3d71effdae1a986b1">CUTLASS_HOST_DEVICE</a> <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-- </td>
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<p>advances in units of whole tiles along the logical coordinate space of the tensor </p>

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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">MmaTensorOpMultiplicandTileIterator</a>&amp; <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::operator-= </td>
          <td>(</td>
          <td class="paramtype"><a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator_3_01Shape___00_01Operand___039819fb3ccd43786d556c2c9669508ef.html#ab0919a07c2d37fae0679481ef4ed8138">TensorCoord</a> const &amp;&#160;</td>
          <td class="paramname"><em>tile_offset</em></td><td>)</td>
          <td></td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">CUTLASS_DEVICE void <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::set_kgroup_index </td>
          <td>(</td>
          <td class="paramtype">int&#160;</td>
          <td class="paramname"><em>k_group</em></td><td>)</td>
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<p>Notify the iterator which k-group it is currently pointing to.</p>
<p>This does not advance the iterator. Rather, it overrides its internal tracking with constant-valued k-group index to enable the compiler to fold constants and achieve more efficient code.</p>
<p>This is used by some nontrivial permuted layouts. </p>

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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOpDelta = OpDelta_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname"><a class="el" href="namespacecutlass_1_1gemm.html#a34338284023da7403c9ecbd3f406b2a6">Operand</a> const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kOperand = Operand_</td>
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template&lt;typename Shape_ , Operand Operand_, typename Element_ , typename InstructionShape_ , int OpDelta_, int PartitionsK_&gt; </div>
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          <td class="memname">int const <a class="el" href="classcutlass_1_1gemm_1_1warp_1_1MmaTensorOpMultiplicandTileIterator.html">cutlass::gemm::warp::MmaTensorOpMultiplicandTileIterator</a>&lt; Shape_, Operand_, Element_, <a class="el" href="structcutlass_1_1layout_1_1RowMajorTensorOpMultiplicandCongruous.html">cutlass::layout::RowMajorTensorOpMultiplicandCongruous</a>&lt; <a class="el" href="structcutlass_1_1sizeof__bits.html">sizeof_bits</a>&lt; Element_ &gt;::value, int(128/sizeof(Element_))&gt;, InstructionShape_, OpDelta_, 32, PartitionsK_ &gt;::kThreads = 32</td>
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<hr/>The documentation for this class was generated from the following file:<ul>
<li><a class="el" href="mma__tensor__op__tile__iterator_8h_source.html">mma_tensor_op_tile_iterator.h</a></li>
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